I am mainly interested in genome regulation and gene expression modulation, as they lay the ground for any cell fate. The questions which excite my curiosity the most are: how are gene expression programs coded? and maintained? how do they adapt during development? and in disease, e.g. cancer?
To mine the regulation metastructure genome-wide I'm fond of integrating gene expression and epigenomic data, mainly from The Cancer Genome Atlas, and to develop methods for doing so.
- [2018 - now] Postdoc, Mark D. Robinson's and Tuncay Baubec's labs, University of Zurich and Swiss Institute of Bioinformatics.
- [2017 - now] Consulting associate professor. Supervision of students from the Open University of Catalonia/University of Barcelona Bioinformatics and Biostatistics MSc program.
- [2013 - 2018] Postdoc, Miguel A. Peinado's lab, IMPPC Institute of Predictive and Personalized Cancer Medicine and Health Research Institute Germans Trias i Pujol. Developed novel frameworks to integrate and visualize high throughput cancer epigenomics data. Analyzed events of DNA co-methylation in colon cancer; and evaluated epigenetic changes in repetitive elements during cell differentiation.
- [2008 - 2012] PhD student, Marcos Egea's lab, Technical University of Cartagena. Studied flower development using a bioinformatics-driven candidate discovery and conducted the reverse genetics approaches to validate the findings.